Satellite task planning method based on greedy adaptive annealing contract net algorithm

A task planning and self-adaptive technology, applied in the field of satellite scheduling, which can solve problems such as incompleteness, failure to consider main goals and sub-goals, etc.

Pending Publication Date: 2022-08-02
HEFEI UNIV OF TECH
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Problems solved by technology

[0007] Aiming at the deficiencies of the prior art, the present invention provides a satellite mission planning method, system, storage medium and electronic equipment based on a greedy adaptive annealing contract network algorithm, which solves the problem of not considering the main Technical issue where goals and subgoals do not always line up exactly

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  • Satellite task planning method based on greedy adaptive annealing contract net algorithm
  • Satellite task planning method based on greedy adaptive annealing contract net algorithm
  • Satellite task planning method based on greedy adaptive annealing contract net algorithm

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Embodiment

[0089] First, as figure 1 As shown, an embodiment of the present invention provides a satellite mission planning method based on a greedy adaptive annealing contract network algorithm, including several slave satellites and a master satellite for decision-making, and the method specifically includes:

[0090] S1, the main satellite obtains the task sequence to be observed, and enters the cyclic bidding process, set q=1, and set the cycle termination times;

[0091] S2, the main satellite starts the qth bidding, and obtains the task sequence that has not been arranged at present, if the task sequence that is not currently arranged is empty, go to S5; otherwise, go to S3;

[0092] S3. The master satellite broadcasts the currently unscheduled task sequence to each of the slave satellites; according to a preset slave satellite mathematical model, each of the slave satellites adopts a greedy-based task sequence for the currently unscheduled task sequence. The adaptive annealing co...

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Abstract

The invention provides a satellite task planning method and system based on a greedy adaptive annealing contract net algorithm, a storage medium and electronic equipment, and relates to the field of satellite scheduling. According to a preset slave satellite mathematical model, each slave satellite generates a corresponding current bidding scheme for a task sequence which is not arranged currently by adopting a greedy-based adaptive annealing contract net algorithm; according to a preset main satellite mathematical model, the main satellite performs bid evaluation by adopting a total observation income maximization bid evaluation strategy, and a bid winning scheme is selected from the bidding schemes; and finally, outputting a global optimal satellite task planning scheme. By establishing a double-layer decision mathematical model, the problem of inconsistency of a main target and a sub-target existing in distributed satellite task allocation and scheduling problems which are not considered by a traditional contract network is solved; and a scheme with higher quality is obtained through multiple rounds of bidding and bidding processes.

Description

technical field [0001] The invention relates to the field of satellite scheduling, in particular to a satellite mission planning method, system, storage medium and electronic device based on a greedy adaptive annealing contract network algorithm. Background technique [0002] With the continuous development of my country's satellite technology, the role of satellites is also growing. Among them, remote sensing satellites can quickly and accurately obtain surface information and have a wide range of applications, which have become an important symbol of national comprehensive strength. At the same time, it also plays an important role in environmental disaster prevention, urban construction planning, and weather forecasting. [0003] The research on satellite scheduling at home and abroad focuses on multi-satellite and multi-task scheduling. The traditional multi-satellite multi-task planning problem is mostly handled by a centralized architecture based on ground offline pl...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/06316G06Q10/06393Y02A10/40
Inventor 靳鹏李康胡笑旋夏维马华伟唐玉芳李健逯冰倩
Owner HEFEI UNIV OF TECH
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